[R] Post hoc comparissons

David L Carlson dcarlson at tamu.edu
Tue Jul 29 23:02:13 CEST 2014

Look at package multcomp, particularly function cld().

David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Reid, Doug (MNR)
Sent: Tuesday, July 29, 2014 2:57 PM
To: r-help at r-project.org
Subject: [R] Post hoc comparissons

Hi Folks,

I have been using the TukeyHSD to conduct post hoc comparisons.  The challenge is I have two interacting factors, one of which has 6 levels (cover types), and the other 2 (study areas).    As a result interpreting the post hoc comparisons is difficult when you get a list of every possible combination (66 of them).  In grad school I was using SAS and I recall most of the post hoc tests that were available there provided a nice summary with letters that made it easy to show which groups differed from one another within an ANOVA model that included a significant interaction.  Is there a way to summarize my result in R that makes it easier to indicate significant post hoc comparisons graphically?

Thanks for your help,

Doug Reid
Lakehead University

	[[alternative HTML version deleted]]

R-help at r-project.org mailing list
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

More information about the R-help mailing list